Data Engineer

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Description

ROLE We are seeking a Data Engineer (Manager) to support the development, maintenance, and improvement of data pipelines for enterprise data warehouse and AI knowledge base platforms within a banking environment. Working under the guidance of senior engineers, you will help transform structured and unstructured data into reliable, reusable datasets that support use cases such as risk management, customer engagement, fraud detection, and intelligent automation. This is a hands-on role with strong learning opportunities across cloud, streaming, and AI-enabled data engineering. This role reports to Executive Director, Data Engineering, Group Data Office. KEY RESPONSIBILITIES Batch & Streaming Data Pipeline Development Develop and support data pipelines feeding data lake/ data warehouse platforms, such as Cloudera, AWS Redshift, Snowflakes, under senior guidance. Support the implementation of data models for reusable analytical datasets and reporting Monitor data pipelines against established SLAs and assist in troubleshooting data quality and processing issues Develop and maintain batch processing jobs using Spark, SQL, Python, or Java Assist with real-time streaming pipelines using Flink or similar tools Build and support ingestion pipelines from APIs, GA4, files, and other data sources Support messaging and streaming integrations using Pub/Sub or Kafka Write clean, tested, and maintainable SQL and Python code for data ingestion and processing Orchestration & Automation Develop

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